Job Description
- Lead & Mentor: Lead, manage, and mentor a team of 8-10 data scientists and machine learning engineers, fostering their career growth and building a culture of innovation, accountability, and excellence.
- Strategic Roadmap & Vision: Partner with Product, Engineering, and Business leaders to identify high-impact opportunities. You will translate ambiguous business problems into a clear, data-driven strategic roadmap for your team.
- Technical Leadership & Execution: Oversee the end-to-end machine learning lifecycle—from ideation, data exploration, and model prototyping to deployment, monitoring, and iteration. You will ensure the team adheres to the highest standards of statistical rigor and engineering best practices.
- Problem Solving on latest Generative AI solutions: Guide your team in solving complex problems in personalization support discovery and internal productivity: Logistics & Fulfillment: Optimizing the three-way marketplace (ETA prediction, batching, driver assignment, route optimization).
- Discovery & Personalization: Building recommendation engines, personalized search, and discovery journeys for Food, Instamart, and Dineout.
- Growth & Economics: Customer segmentation, LTV prediction, churn modeling, and designing optimal pricing and promotion strategies.
- Forecasting & Supply Chain: Demand forecasting for Instamart, restaurant supply prediction, and inventory management.
- Educational Background: A Bachelor’s or Master’s in a quantitative field like Computer Science, Statistics, Operations Research, Economics, or a related discipline.
- Experience: 10+ years of hands-on experience in data science or a machine learning-focused role.
- 2+ years of experience in a formal leadership capacity, managing and mentoring data scientists.
- Expert-level proficiency in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib).
- Deep, hands-on experience with modern machine learning frameworks like TensorFlow, PyTorch, or Keras.
- Strong expertise in SQL and experience with large-scale data processing using tools like Spark, Hive, or Presto.
- A solid understanding of both classical ML and deep learning along with exposure to Generative AI solutions (e.g., CNNs, RNNs, Transformers).
- Problem Formulation: A proven track record of converting vague business questions into well-defined machine learning problems.
- Statistical Rigor: Deep understanding of statistical methods, experimental design (A/B testing), and causal inference.
- ML Systems Design: Experience in deploying, monitoring, and maintaining machine learning models in production environments. Familiarity with MLOps principles and tools (e.g., Kubeflow, MLflow) is a strong plus.
- Leadership: Exceptional leadership skills with a passion for developing people and building high-performing teams.
- Communication: Outstanding communication and presentation skills, with the ability to influence and align cross-functional partners.
- Unprecedented Scale: Work with one of the richest datasets in India, covering user behavior, logistics, geography, and real-time transactions.
- Tangible Impact: See your models come to life and directly influence the experience of millions of Indians in near real-time. The feedback loop is immediate and gratifying.
- Complex Challenges: The problems we are solving are not just intellectually stimulating; they are unique to our three-way marketplace and will push the boundaries of your knowledge.
- A Culture of Data: We are a data-driven organization from top to bottom. Your work will be valued, and your insights will shape our strategy.
- World-Class Team: Collaborate with a brilliant, diverse, and humble team of data scientists, engineers, and product managers who are among the best in the industry
Qualifications
- Experience working with real-time, low-latency model deployment and MLOps.
- Strong experience with geospatial data and relevant libraries (e.g., GeoPandas, H3, S2).
- A portfolio of patents or publications in top-tier ML/AI conferences (e.g., NeurIPS, ICML, KDD, ICLR).
- Prior experience leading and scaling a team of scientists.